Yu Shi

3.7k total citations · 1 hit paper
80 papers, 2.7k citations indexed

About

Yu Shi is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Yu Shi has authored 80 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 33 papers in Plant Science and 17 papers in Insect Science. Recurrent topics in Yu Shi's work include Insect Resistance and Genetics (17 papers), Plant Stress Responses and Tolerance (15 papers) and Insect-Plant Interactions and Control (11 papers). Yu Shi is often cited by papers focused on Insect Resistance and Genetics (17 papers), Plant Stress Responses and Tolerance (15 papers) and Insect-Plant Interactions and Control (11 papers). Yu Shi collaborates with scholars based in China, United States and Australia. Yu Shi's co-authors include Haijun Gong, Yi Zhang, Yihua Yang, Yidong Wu, Yichao Wang, Jiawen Wu, René Feyereisen, Yanhong Hu, Jiong Chen and Huidong Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yu Shi

78 papers receiving 2.7k citations

Hit Papers

A core microbiome signature as an indicator of health 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A core microbiome signature as an indicator of health
    2024 73 citations Yu Shi et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yu Shi China 28 1.6k 1.1k 617 266 215 80 2.7k
Deyong Zhang China 26 1.0k 0.7× 592 0.6× 422 0.7× 31 0.1× 40 0.2× 158 2.0k
Shi Xiao China 48 3.9k 2.5× 3.0k 2.8× 163 0.3× 39 0.1× 47 0.2× 141 5.7k
Stéphane Reynaud France 29 884 0.6× 1.1k 1.0× 901 1.5× 9 0.0× 268 1.2× 69 2.9k
Meng Ye China 28 1.9k 1.2× 874 0.8× 607 1.0× 10 0.0× 83 0.4× 94 3.1k
Kjell Sergeant Belgium 34 2.0k 1.3× 1.3k 1.2× 43 0.1× 70 0.3× 34 0.2× 104 3.3k
Gabriel Schaaf Germany 30 2.7k 1.7× 1.5k 1.4× 57 0.1× 33 0.1× 64 0.3× 72 4.0k
Sébastien Planchon Luxembourg 25 983 0.6× 726 0.7× 58 0.1× 17 0.1× 85 0.4× 73 1.9k
Prasanta K. Dash India 28 1.0k 0.7× 811 0.8× 40 0.1× 85 0.3× 201 0.9× 98 2.4k

Countries citing papers authored by Yu Shi

Since Specialization
Citations

This map shows the geographic impact of Yu Shi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Shi more than expected).

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu Shi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yu Shi. The network helps show where Yu Shi may publish in the future.

Co-authorship network of co-authors of Yu Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shi. A scholar is included among the top collaborators of Yu Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu Shi. Yu Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Yan, Byung‐Chul Chang, Jing Gao, et al.. (2025). Exogenous nano-silicon treatment enhanced the low temperature tolerance of tomato seedlings. SHILAP Revista de lepidopterología. 13. 100183–100183.
2.
Shi, Yu, et al.. (2024). F116I mutation in CYP9A25 associated with resistance to emamectin benzoate in Spodoptera litura. Pest Management Science. 81(1). 247–254. 3 indexed citations
3.
Zhang, Jianpeng, Yu Shi, Yihua Yang, John G. Oakeshott, & Yidong Wu. (2024). Differentiation in detoxification gene complements, including neofunctionalization of duplicated cytochrome P450 genes, between lineages of cotton bollworm, Helicoverpa armigera. Molecular Ecology. 33(16). e17463–e17463. 1 indexed citations
4.
Shi, Yu, et al.. (2024). Inhibitory Effect and Mechanism of Epigallocatechin Gallate on the Differentiation of 3T3-L1 Preadipocytes. Plant Foods for Human Nutrition. 79(4). 867–874. 3 indexed citations
5.
Guo, Xiaoqian, Yu Shi, Guanglong Zhu, & Guisheng Zhou. (2023). Melatonin Mitigated Salinity Stress on Alfalfa by Improving Antioxidant Defense and Osmoregulation. Agronomy. 13(7). 1727–1727. 16 indexed citations
6.
Hu, Yan, Xiangyu Pan, Yu Shi, et al.. (2022). Muscles are barely required for the patterning and cell dynamics in axolotl limb regeneration. Frontiers in Genetics. 13. 1036641–1036641. 3 indexed citations
7.
Zuo, Yayun, Yu Shi, Feng Zhang, et al.. (2021). Genome mapping coupled with CRISPR gene editing reveals a P450 gene confers avermectin resistance in the beet armyworm. PLoS Genetics. 17(7). e1009680–e1009680. 77 indexed citations
8.
Zhang, Yi, Shuo Li, Yang Li, et al.. (2021). Comparative Physiological and Proteomic Analyses Reveal the Mechanisms of Brassinolide-Mediated Tolerance to Calcium Nitrate Stress in Tomato. Frontiers in Plant Science. 12. 724288–724288. 6 indexed citations
9.
Lyu, Dongmei, Guanglong Zhu, Yue Wang, et al.. (2020). Growth, physiological, and heavy metal accumulation traits at seedling stage under heavy metal stress in castor (Ricinus communis L.). ACTA AGRONOMICA SINICA. 47(4). 728–737. 1 indexed citations
10.
Wang, Huidong, Yu Shi, Lu Wang, et al.. (2018). CYP6AE gene cluster knockout in Helicoverpa armigera reveals role in detoxification of phytochemicals and insecticides. Nature Communications. 9(1). 4820–4820. 197 indexed citations
11.
Song, Xiaoling, et al.. (2018). Fitness Cost of Transgenic cry1Ab/c Rice Under Saline-Alkaline Soil Condition. Frontiers in Plant Science. 9. 1552–1552. 10 indexed citations
12.
Zhang, Haonan, Shan Yu, Yu Shi, et al.. (2017). Intra- and extracellular domains of the Helicoverpa armigera cadherin mediate Cry1Ac cytotoxicity. Insect Biochemistry and Molecular Biology. 86. 41–49. 19 indexed citations
13.
Shi, Yu, Yi Zhang, Weihua Han, et al.. (2016). Silicon Enhances Water Stress Tolerance by Improving Root Hydraulic Conductance in Solanum lycopersicum L.. Frontiers in Plant Science. 7. 196–196. 199 indexed citations
14.
Shi, Yu, et al.. (2014). Silicon improves seed germination and alleviates oxidative stress of bud seedlings in tomato under water deficit stress. Plant Physiology and Biochemistry. 78. 27–36. 190 indexed citations
15.
Zhang, Yi, Xiaohui Hu, Yu Shi, et al.. (2013). Beneficial Role of Exogenous Spermidine on Nitrogen Metabolism in Tomato Seedlings Exposed to Saline-alkaline Stress. Journal of the American Society for Horticultural Science. 138(1). 38–49. 28 indexed citations
16.
Shi, Yu, Yichao Wang, T. J. Flowers, & Haijun Gong. (2013). Silicon decreases chloride transport in rice (Oryza sativa L.) in saline conditions. Journal of Plant Physiology. 170(9). 847–853. 114 indexed citations
17.
Lu, Xin‐Jiang, et al.. (2011). Identification and characterization of a novel cathelicidin from ayu, Plecoglossus altivelis. Fish & Shellfish Immunology. 31(1). 52–57. 47 indexed citations
18.
19.
20.
Chen, Jiong, et al.. (2009). The effects of environmental salinity on trunk kidney proteome of juvenile ayu (Plecoglossus altivelis). Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 4(4). 263–267. 18 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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